Focus Areas

Critical Transitions in Man-Made and Natural Systems
Many complex systems, man-made or naturally occurring, exhibit critical transitions and tipping points. Understanding the tell tales of these transitions is crucial. We study these critical transitions in coupled human and natural systems, in epidemics and in socio economic systems.

Foundations of Complex Adaptive Systems
There is no theory of complex systems. Many interesting results have been obtained using concepts from thermodynamics but no full theory that can support predictive modelling exists. In this research we focus on an Information Theoretical approach to describing the non-linear interactions in deeply connected systems. Using novel information metrics such as Tsallis Entropy and Natural Information as well as Geometrical Information we explore the fundamentals of the dynamics of complex systems. The goal is a comprehensive, testable theory of Complex Adaptive Systems.

Urban Adaptive Dynamics
Since about 2007 the majority of the world population is living in an urban environment. Yet we hardly understand the concept of a ‘city’. We do know however that cities are pretty stable constructs that show remarkable scaling behaviour. In addition to being an environment in which new opportunities are abundant, a city also is a source of increased crime, pollution and diseases. Using open data we build Agent Based models to better understand the interplay between the social and physical infrastructure of cities.                                       Related projects:                                                                                                 New data yields deeper understanding of poverty in India

Health Systems Complexity
Demographic challenges such as ever increasing population density or an aging population require novel models to measure, predict, and mitigate the devastating effects these challenges pose. Using novel machine learning techniques and modelling methods such as complex networks, cellular automata and agent based models, we build predictive models to run what if scenarios that can result in decision support for medical doctors and health care policy. The Virtual Physical Human is a good example.

For any enquiry, please contact: Ms Ng Bee Wee,